Lectures related to Algorithmic Composition: Semester Project Milestones

Covers abstract data structures and the C++ standard library, including linked lists, stacks, queues, and complex numbers.

Explores global health challenges in regenerative medicine and ethics, guiding students on project development and critical appraisal.

Explores data wrangling, numerical data handling, and scientific visualization using Python for engineers.

Covers the basics of MATLAB and includes an exercise session on metabolic modeling.

Explores transfer functions, frequency response, Bode diagrams, and poles and zeros in circuits.

Explores plotting 2D graphs, handling errors, creating bar charts, and visualizing vector fields in Matlab/Octave.